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Data mining for providing a personalized learning path in creativity: An application of decision trees. Presenter : CHANG, SHIH-JIE Authors : Chun Fu Lin , Yu- chu Yeh , Yu Hsin Hung, Ray I Chang 2013.CE. Outlines. Motivation Objectives Methodology Experiments Conclusions - PowerPoint PPT Presentation
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Intelligent Database Systems Lab
Presenter : CHANG, SHIH-JIE
Authors : Chun Fu Lin, Yu-chu Yeh, Yu Hsin Hung, Ray I Chang
2013.CE.
Data mining for providing a personalized learning path in creativity:An application of decision trees
Intelligent Database Systems Lab
Outlines
MotivationObjectivesMethodologyExperimentsConclusionsComments
Intelligent Database Systems Lab
Motivation
Traditional Web-based learning systems neglect the customization of learning materials to the learners’ needs. Routine learning materials and paths might not meet the learners’ needs.
Intelligent Database Systems Lab
Objectives
• Developing a personalized creativity learning system (PCLS) to provide adaptive learning paths for learners with varied backgrounds and personal traits.
Intelligent Database Systems Lab
Intelligent Database Systems Lab
The framework of PCLS
Intelligent Database Systems Lab
Methodology
Intelligent Database Systems Lab
Methodology- Agent structures
Feature selection Decision tree algorithm
Intelligent Database Systems Lab
Methodology - Creativity Game Agent
(1)The living room(2)The kitchen (3) The bathroom
Intelligent Database Systems Lab
Methodology – Collecting data
Intelligent Database Systems Lab
Experiments – Gain ratio result
Intelligent Database Systems Lab
Experiments-Analyzing the decision tree model
Intelligent Database Systems Lab
Experiments
Intelligent Database Systems Lab
Experiments
Intelligent Database Systems Lab
Conclusions– The system helps learners to choose their optimal
learning path and helps teachers to understand the cognitive process of learners, to allow them to adapt their teaching behavior efficiently.
Intelligent Database Systems Lab
Comments• Advantages
– To enhance the learning effectiveness and learning efficiency.
• Applications– Teaching and learning strategies.